Amazon Lambda Invoke Connector for AI agents.
1 live capability
Run specific AWS Lambda functions to handle complex backend tasks.
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Why people use Amazon Lambda Invoke
Amazon Lambda Invoke for Secure AWS Compute
This Connector changes that by creating a walled garden. Your agent only sees the one function you want it to use. It can run the code, get the data, and move on without ever knowing your other AWS resources exist. You get the power of cloud compute without the risk of a runaway agent.
What Vinkius changes
It turns a single cloud function into a usable capability for your agent.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Image Processing
A user asks the agent to resize a photo.
- Real-world use case 02
Complex Math
A user needs a 10-digit calculation.
- Real-world use case 03
Internal API Access
An agent needs to check a private database.
Complete set · 1capability
The complete Amazon Lambda Invoke capability set.
These are the exact actions your AI can choose when you ask it to work with Amazon Lambda Invoke.
01
1 capability in this set.
Part of 1 available through Amazon Lambda Invoke.
- 01 Capability
Invoke function
The payload must be a valid JSON string. Invoke the configured AWS Lambda function
Set up in minutes
One URL. Then ask Amazon Lambda Invoke to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Amazon Lambda Invoke from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_A74yu31QG6UrR8vO5MgKwlxUiKSO5h246g9tEqbV/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Amazon Lambda Invoke, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Amazon Lambda Invoke for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_A74yu31QG6UrR8vO5MgKwlxUiKSO5h246g9tEqbV/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Amazon Lambda Invoke URL.
- Step 03
Save and start
Save the connection and enable Amazon Lambda Invoke in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"amazon-lambda-invoke": {
"url": "https://edge.vinkius.com/vk_preview_A74yu31QG6UrR8vO5MgKwlxUiKSO5h246g9tEqbV/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Amazon Lambda Invoke
Open Agent mode in chat and ask: "Using Amazon Lambda Invoke, help me...". 1 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"amazon-lambda-invoke": {
"url": "https://edge.vinkius.com/vk_preview_A74yu31QG6UrR8vO5MgKwlxUiKSO5h246g9tEqbV/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Amazon Lambda Invoke
Ask Copilot: "Using Amazon Lambda Invoke, help me...". 1 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"amazon-lambda-invoke": {
"url": "https://edge.vinkius.com/vk_preview_A74yu31QG6UrR8vO5MgKwlxUiKSO5h246g9tEqbV/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Amazon Lambda Invoke
Open Cascade and ask: "Using Amazon Lambda Invoke, help me...". 1 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"amazon-lambda-invoke": {
"url": "https://edge.vinkius.com/vk_preview_A74yu31QG6UrR8vO5MgKwlxUiKSO5h246g9tEqbV/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Amazon Lambda Invoke
Ask Cline: "Using Amazon Lambda Invoke, help me...". 1 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add amazon-lambda-invoke --transport http "https://edge.vinkius.com/vk_preview_A74yu31QG6UrR8vO5MgKwlxUiKSO5h246g9tEqbV/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Amazon Lambda Invoke
Ask Claude: "Using Amazon Lambda Invoke, show me...". 1 tools are ready
Where the request belongs
Work Amazon Lambda Invoke can move forward.
This is for the DevOps engineer who needs to expose a specific capability without opening a public endpoint, or the data engineer who needs the AI to trigger heavy processing jobs.
DevOps Engineer
You use this to give your AI agent access to a specific internal capability without creating a security hole in your AWS account.
Data Engineer
You use this to trigger heavy data processing jobs and have the agent wait for the final output to proceed.
Backend Developer
You use this to bridge your private internal APIs with your AI client using a secure, function-based gate.
Security Officer
You use this to enforce least-privilege access for AI agents in production environments.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
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Estimate latency impact and cold start probabilities for serverless functions.
Bring your own AI
Change the model, client or framework. Keep Amazon Lambda Invoke connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Amazon Lambda Invoke.
The practical details behind the request, access and result.
Can Amazon Lambda Invoke MCP access my entire AWS account?
No, it's designed to be secure. It only allows your agent to talk to one specific function you choose, keeping the rest of your account hidden.
How do I keep my data safe when using Amazon Lambda Invoke MCP?
It works by using surgical permissions. Your agent never sees your full infrastructure, it only sees the inputs and outputs of the one function you've authorized.
Can I use Amazon Lambda Invoke MCP for heavy math?
Yes, it's a great way to offload heavy math. Your agent sends the numbers, the Lambda does the complex work, and the result is sent back to your agent.
Does Amazon Lambda Invoke MCP support background tasks?
Yes, it can trigger background tasks. If your Lambda is set up for asynchronous execution, the agent can start the process and confirm it's running.
What happens if my Lambda function fails?
If the function fails, your agent will see the error message. It can then use that info to figure out what went wrong or ask you for clarification.
Can I connect Amazon Lambda Invoke MCP to multiple functions?
This specific MCP is for one function. If you need to call many different functions, you'll need to set up separate connections or a different capability.
Why limit the agent to a single Lambda function?
To enforce zero-trust architecture. An autonomous agent shouldn't have the power to execute arbitrary code or trigger unauthorized billing spikes by invoking unapproved serverless functions.
Can I invoke the function asynchronously?
Yes. Set the 'invocationType' parameter to 'Event'. The agent will trigger the function in the background and receive an immediate 202 Accepted response.
How does the agent know if the code crashed?
The capability automatically requests the 'Tail' log from AWS Lambda. If the function crashes, the agent will see the 'FunctionError' flag and the stack trace inside the 'LogResult'.
One connection away
Give your agent a direct line to Amazon Lambda Invoke.
Connect Amazon Lambda Invoke once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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